| Literature DB >> 27843487 |
Aaron Ermel1, Brahim Qadadri1, Yan Tong1, Omenge Orang'o2, Benson Macharia2, Doreen Ramogola-Masire3, Nicola M Zetola3, Darron R Brown1.
Abstract
BACKGROUND: More deaths occur in African women from invasive cervical cancer (ICC) than from any other malignancy. ICC is caused by infection with oncogenic types of human papillomavirus (HPV). Co-infection with the human immunodeficiency virus (HIV) accelerates the natural history of ICC, and may influence the HPV type distribution. Because HPV vaccines are available, this malignancy is theoretically preventable, but the vaccines are largely type-specific in protection against infection. Data on specific HPV types causing ICC in African women is limited, and many studies utilized swab samples rather than actual cancer tissue. A previous study using archived, ICC tissue from women in Botswana identified an unusual HPV type distribution. A similar study was therefore performed in a second sub-Saharan country to provide additional information on the HPV type distribution in ICC.Entities:
Year: 2016 PMID: 27843487 PMCID: PMC5105291 DOI: 10.1186/s13027-016-0102-9
Source DB: PubMed Journal: Infect Agent Cancer ISSN: 1750-9378 Impact factor: 2.965
Characteristics of invasive cervical cancers from the U.S., Botswana, and Kenya
| Specimen characteristics | U.S. | Botswana | Kenya |
|
|---|---|---|---|---|
| Specimens obtained | 51 | 214 | 210 | |
| Number of specimens with sufficient epitheliuma | 51 (100 %) | 182 (85.0 %) | 187 (89.0 %) | 0.01 |
| β-globin-positive (of all specimens with sufficient epithelium) | 50 (98.0 %) | 171 (94.0 %) | 178 (95.2 %) | 0.491 |
| HPV-positive (of β-globin-positive specimens) | 46 (92 %) | 136 (79.5 %) | 146 (82.0 %) | 0.128 |
aSee text (Methods) for explanation
HPV types in HPV-positive invasive cervical cancers from the U.S., Botswana, and Kenya
| HPV type | U.S., | Botswana, | Kenya, |
|
|---|---|---|---|---|
| High-risk (HR) type distribution | ||||
| HR-HPV | 46 (100 %) | 130 (95.6 %) | 145 (99.3 %) | 0.085 |
| HPV 16 | 40 (87.0 %) | 58 (42.7 %) | 118 (80.8 %) | <0.001 |
| HPV 18 | 4 (8.7 %) | 32 (23.5 %) | 28 (19.2 %) | 0.089 |
| HPV 26 | 0 | 5 (3.7 %) | 0 | 0.033 |
| HPV 31 | 1 (2.2 %) | 5 (3.7 %) | 2 (1.4 %) | 0.430 |
| HPV 33 | 1 (2.2 %) | 7 (5.2 %) | 2 (1.4 %) | 0.143 |
| HPV 35 | 0 | 8 (5.9 %) | 1 (0.7 %) | 0.021 |
| HPV 39 | 0 | 6 (4.4 %) | 1 (0.7 %) | 0.085 |
| HPV 45 | 3 (6.5 %) | 12 (8.8 %) | 9 (6.2 %) | 0.676 |
| HPV 51 | 0 | 3 (2.2 %) | 0 | 0.123 |
| HPV 52 | 0 | 4 (2.9 %) | 0 | 0.081 |
| HPV 53 | 0 | 1 (0.7 %) | 0 | 0.555 |
| HPV 56 | 0 | 0 | 0 | - |
| HPV 58 | 0 | 2 (1.5 %) | 2 (1.4 %) | 1.000 |
| HPV 59 | 0 | 2 (1.5 %) | 2 (1.4 %) | 1.000 |
| HPV 66 | 0 | 4 (2.9 %) | 0 | 0.081 |
| HPV 67 | 0 | 1 (0.7 %) | 0 | 0.555 |
| HPV 68 | 0 | 2 (1.5 %) | 0 | 0.432 |
| HPV 69 | 0 | 1 (0.7 %) | 0 | 0.555 |
| HPV 70 | 0 | 0 | 0 | - |
| HPV 73 | 0 | 0 | 1 (0.7 %) | 1.000 |
| HPV 82 | 0 | 2 (1.5 %) | 2 (1.4 %) | 1.000 |
| HPV IS39 | 0 | 0 | 0 | - |
| Low-risk (LR) type distribution | ||||
| LR-HPV | 0 | 12 (8.8 %) | 3 (2.1 %) | 0.007 |
| HPV 6 | 0 | 1 (0.7 %) | 0 | 0.555 |
| HPV 11 | 0 | 1 (0.7 %) | 3 (2.1 %) | 0.795 |
| HPV 40 | 0 | 1 (0.7 %) | 0 | 0.555 |
| HPV 42 | 0 | 0 | 0 | - |
| HPV 54 | 0 | 0 | 0 | - |
| HPV 55 | 0 | 1 (0.7 %) | 0 | 0.555 |
| HPV 61 | 0 | 0 | 0 | - |
| HPV 62 | 0 | 0 | 0 | - |
| HPV 71 | 0 | 0 | 0 | - |
| HPV 72 | 0 | 0 | 0 | - |
| HPV 81 | 0 | 1 (0.7 %) | 0 | 0.555 |
| HPV 83 | 0 | 2 (1.5 %) | 0 | 0.432 |
| HPV 84 | 0 | 6 (4.4 %) | 0 | 0.017 |
Distribution of groups of HPV types, Alpha 9 and Alpha 7 types in HPV-positive ICC specimens
| U.S. ( | Botswana ( | Kenya ( |
| |
|---|---|---|---|---|
| All non-HPV 16/18 types | 5 (10.9 %) | 65 (47.8 %) | 25 (17.1 %) | <0.001 |
| Non-HPV 16/18 HR types | 5 (10.9 %) | 56 (41.2 %) | 22 (15.1 %) | < 0.001 |
| A9 Typesa | 41 (89.1 %) | 79 (58.1 %) | 120 (82.2 %) | < 0.001 |
| HPV 16 | 40 (87.0 %) | 58 (42.7 %) | 118 (80.8 %) | < 0.001 |
| Non-16 A9 Types | 2 (4.4 %) | 26 (19.1 %) | 7 (4.8 %) | 0.002 |
| A7 Typesb | 7 (15.2 %) | 49 (36.0 %) | 40 (27.4 %) | 0.022 |
| HPV 18 | 4 (8.7 %) | 32 (23.5 %) | 28 (19.2 %) | 0.089 |
| Non-18 A7 Types | 3 (6.5 %) | 18 (13.2 %) | 12 (8.2 %) | 0.259 |
aA9 types = HPV types 16, 31, 33, 35, 52, and 58
bA7 types = HPV types 18, 39, 45, 59, and 68
Theoretical protection of HPV vaccines against invasive cervical cancer in the U.S., Botswana, or Kenya, based on data in the current analysis, assuming 100 % vaccine efficacy against oncogenic HPV types represented in the vaccines. The bivalent vaccine is represented by “2X”, the quadrivalent vaccine by “4X”, and the nine-valent vaccine by “9X”
| U.S. | Botswana | Kenya | |
|---|---|---|---|
| 2X/4X vaccine | 93.5 % | 61.8 % | 93.9 % |
| 9X vaccine | 100 % | 77.8 % | 98 % |